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Post Doctoral Research Visit F/M EICACS Job in Paris Recruiting by INRIA

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Post-Doctoral Research Visit F/M EICACS

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Contexte et atouts du poste

This position contributes to a European project which involves partners from both industry and academia of various European countries.

The goal of the project include:

The promotion or development of design rules and interoperability standards,

to ensure the interoperability of collaborative heterogeneous assets

to support secure sharing of resources and exchange of data and information between those systems and platforms for the benefit of the mission execution and performance in systems of systems contexts

to offer mission system software scalability to speed up integration of new capabilities

to contribute to the interoperability of mission system execution platforms

To define functional interfaces of sensors the assessment of questions brought by the implementation of AI technologies, including :

using trustable AI-based functions

European autonomy over AI engineering tools, algorithm libraries and methods enabling the use of AI in military assets

compatibility of tools and processes for the development, the validation, the qualification and the certification of AI-driven operational services

The position generally requires working on a state-of-the-art analysis of Artificial Intelligence and related technologies in order to identify appropriate tools and libraries for autonomy.

Mission confiée

The required research includes in-depth analysis of selected software libraries. Specific metadata information associated to each software under investigation needs to be identified and registered, including cybersecurity risks related to the usage of each software library.

Based on relevant state- of- the- art, preliminary ideas how to support the mitigation of cognitive biases - included in a speech and data processing environment that is used intelligence analysis.

Some other directions that the research can contribute concerning speech processing are :

Speaker verification using machine learning model

Automatic speech recognition

Overview of speech recognition methods

Knowledge reasoning for semantic audio segmentation

Additionally, testing of Artificial Intelligence functions and libraries may be required. An investigation of frameworks and models will be conducted to identify the accurate framework that can ensure the future model of the system. The challenges of the autonomous environment will be analyzed to provide an accurate solution concerning the needs defined in the project. This will involve editing and modifying the software libraries so that to assure the needs of the project.

Principales activités

Desktop research of software tools and libraries in AI

Creating state-of-the-art analysis and benchmarking analysis

Performing data and functional analysis

Software testing

Working with sensitive data

Writing scientific reports

Presentation of the work done

Compétences

We are looking for a highly motivated, creative, and independent researcher with a PhD and strong research background in scientific machine learning.

The following skills are required :

Knowledge in Artificial Intelligence in particular machine learning and deep learning approaches

Scientific expertise and an ambitious, independent, and problem-solving attitude are highly valued

Excellent communication skills in both spoken and written English are a must, as is the ability to interact and work in a translational team of multi-disciplinary technical colleagues on an international level.

Programming skills – Python, Scikit- learn library

Knowledge to other NLP or Speech libraries

Emphasis will also be placed on personal competence creating presentations

Phd with proficiency in English

Rémunération

Post doc = 2788 € bruts / gross per month.

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